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2025 Vol.67, Issue 6 Preview Page
Performance Evaluation of APSIM and DSSAT Models for Simulating Buckwheat Growth and Yield (Fagopyrum esculentum Moench)

메밀의 생육 및 수확량 모의를 위한 APSIM과 DSSAT 모델의 성능 평가

Stephen Okwanga
,
Hyunsu Parkb
,
Jeongwoo Sonc
,
Taegon Kimd
,
Jin-Hyeob Kwake
,
Taeil Jangf†
오광 스티븐a
,
박 현수b
,
손 정우c
,
김 태곤d
,
곽 진협e
,
장 태일f†
aPh.D. Candidate, Department of Agricultural Engineering, Jeonbuk National University
bPost-graduate researcher, Department of Rural Construction Engineering, Jeonbuk National University
cResearcher, Division of Soil and Water Environment, National Institute of Agricultural Sciences
dAssociate professor, Department of Agricultural Engineering, Department of Smart Farm, Institute of Agricultural Science & Technology, Jeonbuk National University
eAssociate professor, Department of Rural Construction Engineering, Institute of Agricultural Science & Technology, Jeonbuk National University
fProfessor, Department of Rural Construction Engineering, Institute of Agricultural Science & Technology, Jeonbuk National University
†Corresponding author Tel.: +82-63-270-2518 E-mail: tjang@jbnu.ac.kr
2025. pp. 137-150
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Abstract

Accurate simulation of buckwheat (Fagopyrum esculentum Moench) growth and yield is essential for predicting crop responses, optimizing water use, and supporting sustainable production. Crop growth models provide a robust framework to quantify these responses to soil and management factors, enabling more precise decision-making under variable environmental conditions. This study evaluated the performance of the APSIM and DSSAT models in simulating the soil moisture dynamics and crop yield of buckwheat in South Korea. Field data on soil moisture, leaf area index (LAI), phenology, and yield were used for model calibration. Both models successfully reproduced overall growth patterns and phenological stages, with DSSAT showing better performance in simulating final yield (observed 126.5 kg 10a⁻¹; DSSAT 111.3; APSIM 152.0), maximum LAI and phenology. APSIM more accurately represented early growth and final above ground biomass. Soil moisture dynamics were well captured by both models (APSIM: R² = 0.95, RMSE = 2.50%, d = 0.97; DSSAT: R² = 0.97, RMSE = 1.64%, d = 0.98). However, APSIM tended to overestimate soil moisture under wet conditions and exaggerate depletion under dry conditions, whereas DSSAT slightly underestimated soil water depletion during dry periods, reflecting differences in model structure and parameterization. Overall, both models showed strong potential as decision-support tools for sustainable buckwheat production, though further validation is required to enhance their predictive reliability under diverse climatic conditions.

Keywords
Crop growth model
soil moisture dynamics
LAI
yield
buckwheat
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Information
  • Publisher :The Korean Society of Agricultural Engineers
  • Publisher(Ko) :한국농공학회
  • Journal Title :Journal of Korean Society of Agricultural Engineers
  • Journal Title(Ko) :한국농공학회논문집
  • Volume : 67
  • No :6
  • Pages :137-150
  • Received Date : 2025-10-17
  • Revised Date : 2025-11-05
  • Accepted Date : 2025-11-05
  • DOI :https://doi.org/10.5389/KSAE.2025.67.6.137
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